Identifying and comparing states of time-delayed systems: Phase diagrams and applications to human motor control systems

T.D. Frank; R. Friedrich; P.J. Beek

doi:10.1016/j.physleta.2005.01.091

Identifying and comparing states of time-delayed systems: Phase diagrams and applications to human motor control systems

T.D. Frank
, R. Friedrich
, P.J. Beek

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

A data driven characterization of time-delayed stochastic systems is proposed in terms of linear delay differential equations and two drift parameters. It is shown how these parameters determine the states of such systems with respect to generalized phase diagrams. This approach allows for a comparison of systems with different parameters as exemplified for two motor control tasks: tracking and force production. © 2005 Elsevier B.V. All rights reserved.

Original language	English
Pages (from-to)	74-80
Journal	Physics Letters A
Volume	338
DOIs	https://doi.org/10.1016/j.physleta.2005.01.091
Publication status	Published - 2005

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10.1016/j.physleta.2005.01.091

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title = "Identifying and comparing states of time-delayed systems: Phase diagrams and applications to human motor control systems",

abstract = "A data driven characterization of time-delayed stochastic systems is proposed in terms of linear delay differential equations and two drift parameters. It is shown how these parameters determine the states of such systems with respect to generalized phase diagrams. This approach allows for a comparison of systems with different parameters as exemplified for two motor control tasks: tracking and force production. {\textcopyright} 2005 Elsevier B.V. All rights reserved.",

author = "T.D. Frank and R. Friedrich and P.J. Beek",

year = "2005",

doi = "10.1016/j.physleta.2005.01.091",

language = "English",

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T1 - Identifying and comparing states of time-delayed systems: Phase diagrams and applications to human motor control systems

AU - Frank, T.D.

AU - Friedrich, R.

AU - Beek, P.J.

PY - 2005

Y1 - 2005

N2 - A data driven characterization of time-delayed stochastic systems is proposed in terms of linear delay differential equations and two drift parameters. It is shown how these parameters determine the states of such systems with respect to generalized phase diagrams. This approach allows for a comparison of systems with different parameters as exemplified for two motor control tasks: tracking and force production. © 2005 Elsevier B.V. All rights reserved.

AB - A data driven characterization of time-delayed stochastic systems is proposed in terms of linear delay differential equations and two drift parameters. It is shown how these parameters determine the states of such systems with respect to generalized phase diagrams. This approach allows for a comparison of systems with different parameters as exemplified for two motor control tasks: tracking and force production. © 2005 Elsevier B.V. All rights reserved.

U2 - 10.1016/j.physleta.2005.01.091

DO - 10.1016/j.physleta.2005.01.091

M3 - Article

SN - 0375-9601

VL - 338

SP - 74

EP - 80

JO - Physics Letters A

JF - Physics Letters A

ER -

Identifying and comparing states of time-delayed systems: Phase diagrams and applications to human motor control systems

Abstract

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